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Record W1480221878

OUR HEARTS ON OUR STREET: NEECHI COMMONS AND THE SOCIAL ENTERPRISE CENTRE IN WINNIPEG

2015· article· en· W1480221878 on OpenAlexaffabout
Tyler Pearce, Wanda Wuttunee

Bibliographic record

VenueHuman Development Resource Network (HDRNet) · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCommonsNeighbourhood (mathematics)Social enterpriseSociologyPublic relationsFace (sociological concept)Space (punctuation)Political scienceManagementPublic administrationSocial scienceLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

Neechi Commons, a community business complex run by and for Aboriginal people, and the Social Enterprise Centre, a office complex that includes warehouse space, are two community-driven projects to emerge in an unlikely place: a stretch of Winnipeg, Manitoba that cuts through one of the poorest postal codes in Canada. \nAlthough both projects have similar outcomes, such as employment and neighbourhood renewal, how each was constructed and which community development principles they drew strength from were different. This article describes the unique process and hurdles each project went through, the role of CED principles in their direction and decision-making, and lastly, the future challenges each may face. The role of “thinking big” while “putting your heart out there” is emphasized throughout.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0140.003
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.069
GPT teacher head0.270
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2015
Admission routes2
Has abstractyes

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